code: def __init__(self, data_reader: Sequence, input_names: List[str]):
      super(TVMCalibrator, self).__init__(data_reader=data_reader)
      self._input_names = input_names
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/optimizations/compilers/quantizations/tvm.py
imports: from typing import List, Sequence, Any
  from nebullvm.config import QUANTIZATION_DATA_NUM
  from nebullvm.core.models import QuantizationType
  from nebullvm.optional_modules.tvm import relay, ToMixedPrecision
  from nebullvm.tools.data import DataManager
  from nebullvm.tools.transformations import MultiStageTransformation, HalfPrecisionTransformation
label_desc: Use image node_id 1 to create a new TVMCalibrator object from inherited base classes: DataManager with example: obj = TVMCalibrator(data_reader, input_names)